<template><div><h2 id="推荐系统博客" tabindex="-1"><a class="header-anchor" href="#推荐系统博客" aria-hidden="true">#</a> 推荐系统博客</h2>
<ul>
<li>
<p><a href="https://www.hegongshan.com/" target="_blank" rel="noopener noreferrer">贺巩山的博客<ExternalLinkIcon/></a></p>
</li>
<li>
<p><a href="https://www.jianshu.com/u/c5df9e229a67" target="_blank" rel="noopener noreferrer">文哥的学习笔记<ExternalLinkIcon/></a></p>
</li>
</ul>
<h2 id="推荐系统数据集" tabindex="-1"><a class="header-anchor" href="#推荐系统数据集" aria-hidden="true">#</a> 推荐系统数据集</h2>
<ul>
<li><a href="https://grouplens.org/datasets/movielens/" target="_blank" rel="noopener noreferrer">MovieLen<ExternalLinkIcon/></a></li>
<li><a href="https://grouplens.org/datasets/hetrec-2011/" target="_blank" rel="noopener noreferrer">LastFM<ExternalLinkIcon/></a></li>
</ul>
<table>
<thead>
<tr>
<th>dataset</th>
<th>users</th>
<th>items</th>
<th>ratings</th>
<th>density</th>
</tr>
</thead>
<tbody>
<tr>
<td>MovieLen 100K</td>
<td>943</td>
<td>1682</td>
<td>100,000</td>
<td>6.30%</td>
</tr>
<tr>
<td>MovieLen 1M</td>
<td>6,040</td>
<td>3,706</td>
<td>1,000,209</td>
<td>4.47%</td>
</tr>
<tr>
<td>MovieLen 10M</td>
<td>71,567</td>
<td>10,681</td>
<td>10,000,054</td>
<td>1.308%</td>
</tr>
</tbody>
</table>
<h2 id="推荐系统仓库" tabindex="-1"><a class="header-anchor" href="#推荐系统仓库" aria-hidden="true">#</a> 推荐系统仓库</h2>
<ul>
<li><a href="https://github.com/hegongshan/Recommender-Systems-Paper#deep-learning" target="_blank" rel="noopener noreferrer">Recommender-Systems-Paper<ExternalLinkIcon/></a> 推荐系统经典论文</li>
<li><a href="https://github.com/ZiyaoGeng/Recommender-System-with-TF2.0" target="_blank" rel="noopener noreferrer">Recommender-System-with-TF2.0<ExternalLinkIcon/></a> 这个仓库使用 tensorflow2.0 复现一些论文</li>
</ul>
<h2 id="论文编写" tabindex="-1"><a class="header-anchor" href="#论文编写" aria-hidden="true">#</a> 论文编写</h2>
<ul>
<li><a href="https://ww.wiki.fallingwaterdesignbuild.com/baike-Help:%E6%95%B0%E5%AD%A6%E5%85%AC%E5%BC%8F#%E7%89%B9%E6%AE%8A%E7%AC%A6%E5%8F%B7" target="_blank" rel="noopener noreferrer">Latex公式<ExternalLinkIcon/></a></li>
<li><a href="https://scholar.google.co.jp/" target="_blank" rel="noopener noreferrer">谷歌学术<ExternalLinkIcon/></a></li>
<li><a href="https://pdf.youdao.com/" target="_blank" rel="noopener noreferrer">有道文档翻译<ExternalLinkIcon/></a> 免费翻译pdf，论文阅读利器。</li>
</ul>
<h2 id="经典论文" tabindex="-1"><a class="header-anchor" href="#经典论文" aria-hidden="true">#</a> 经典论文</h2>
<ul>
<li><a href="https://arxiv.org/pdf/1901.04704v1.pdf" target="_blank" rel="noopener noreferrer">DeepCF<ExternalLinkIcon/></a></li>
<li><a href="https://www.ijcai.org/proceedings/2017/0447.pdf" target="_blank" rel="noopener noreferrer">DMF<ExternalLinkIcon/></a></li>
<li><a href="">NCF</a></li>
<li><a href="">ONCF</a></li>
<li><a href="https://arxiv.org/pdf/2102.02549.pdf" target="_blank" rel="noopener noreferrer">Dual-embedding NCF<ExternalLinkIcon/></a></li>
<li><a href="https://www.ijcai.org/proceedings/2018/0462.pdf" target="_blank" rel="noopener noreferrer">DELF<ExternalLinkIcon/></a></li>
<li><a href="https://arxiv.org/pdf/1907.06902.pdf" target="_blank" rel="noopener noreferrer">Are We Really Making Much Progress?<ExternalLinkIcon/></a> 质疑深度学习算法带来的是伪提升，18篇文章中只有7篇可复现 <a href="https://www.zhihu.com/question/336304380/answer/759069150" target="_blank" rel="noopener noreferrer">--知乎关于Are We Really Making Much Progress的讨论<ExternalLinkIcon/></a></li>
<li></li>
</ul>
<h2 id="阅读笔记" tabindex="-1"><a class="header-anchor" href="#阅读笔记" aria-hidden="true">#</a> 阅读笔记</h2>
<ul>
<li><a href="https://www.cnblogs.com/wy-ei/p/11534593.html" target="_blank" rel="noopener noreferrer">ItemKNN<ExternalLinkIcon/></a> 基于物品的协同过滤算法</li>
<li><a href="https://www.jianshu.com/p/d8173f29e4f8" target="_blank" rel="noopener noreferrer">FastMF<ExternalLinkIcon/></a> 交替最小二乘法求解矩阵分解，将所有缺省值作为负反馈按照物品流行度赋值</li>
<li><a href="https://www.cnblogs.com/HolyShine/p/6728999.html" target="_blank" rel="noopener noreferrer">NeuMF<ExternalLinkIcon/></a> NeuMF论文翻译</li>
<li><a href="https://zhuanlan.zhihu.com/p/381300186" target="_blank" rel="noopener noreferrer">DELF<ExternalLinkIcon/></a> DELF论文翻译</li>
<li><a href="https://blog.csdn.net/weixin_44884854/article/details/109143387" target="_blank" rel="noopener noreferrer">DeepCF<ExternalLinkIcon/></a> DeepCF阅读笔记，综合了表示学习和匹配函数学习。(使用历史交互Multi-Hot编码代替NCF中的ID)</li>
</ul>
<h2 id="深度学习相关地址" tabindex="-1"><a class="header-anchor" href="#深度学习相关地址" aria-hidden="true">#</a> 深度学习相关地址</h2>
<ul>
<li><a href="https://keras.io/" target="_blank" rel="noopener noreferrer">keras中文文档<ExternalLinkIcon/></a></li>
</ul>
<p><a href="http://millionsongdataset.com/pages/field-list/" target="_blank" rel="noopener noreferrer">数据集字段名<ExternalLinkIcon/></a></p>
</div></template>
